PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX bd: <http://www.bigdata.com/rdf#>
SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates WHERE {
  ?country wdt:P463 wd:Q1065 .
  OPTIONAL {
    ?country wdt:P36 ?capital .
  }
  OPTIONAL {
    ?country wdt:P1082 ?population .
  }
  OPTIONAL {
    ?country wdt:P2046 ?areaSize .
  }
  OPTIONAL {
    ?country wdt:P35 ?headOfState .
  }
  OPTIONAL {
    ?headOfState wdt:P18 ?headOfStateImage .
  }
  OPTIONAL {
    ?country wdt:P38 ?currency .
  }
  OPTIONAL {
    ?country wdt:P41 ?flagImage .
  }
  OPTIONAL {
    ?country wdt:P625 ?coordinates .
  }
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "en" .
  }
}

SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '
<title>301 Moved Permanently</title>

301 Moved Permanently'

The property for the coordinate location of a country is `wd:P625`.

### Step 4: Build the SPARQL Query
Now that we have identified all the necessary properties, we can build the SPARQL query to retrieve the required information for UN member countries.

Here is the initial SPARQL query:

```sparql
SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates
WHERE {
  ?country wdt:P463 wd:Q1065 .
  OPTIONAL { ?country wdt:P36 ?capital . }
  OPTIONAL { ?country wdt:P1082 ?population . }
  OPTIONAL { ?country wdt:P2046 ?areaSize . }
  OPTIONAL { ?country wdt:P35 ?headOfState . }
  OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . }
  OPTIONAL { ?country wdt:P38 ?currency . }
  OPTIONAL { ?country wdt:P41 ?flagImage . }
  OPTIONAL { ?country wdt:P625 ?coordinates . }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
```

However, since we cannot use `SERVICE wikibase:label`, we will use `rdfs:label` to get the labels.

Let's execute the query and see the results.

```sparql
SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates
WHERE {
  ?country wdt:P463 wd:Q1065 .
  OPTIONAL { ?country wdt:P36 ?capital . }
  OPTIONAL { ?country wdt:P1082 ?population . }
  OPTIONAL { ?country wdt:P2046 ?areaSize . }
  OPTIONAL { ?country wdt:P35 ?headOfState . }
  OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . }
  OPTIONAL { ?country wdt:P38 ?currency . }
  OPTIONAL { ?country wdt:P41 ?flagImage . }
  OPTIONAL { ?country wdt:P625 ?coordinates . }
  OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel) = "en") }
  OPTIONAL { ?capital rdfs:label ?capitalLabel . FILTER(LANG(?capitalLabel) = "en") }
}
```

Let's execute this query.

<tool_call>
{"name": "execute", "arguments": {"kg": "wikidata", "sparql": "SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates WHERE { ?country wdt:P463 wd:Q1065 . OPTIONAL { ?country wdt:P36 ?capital . } OPTIONAL { ?country wdt:P1082 ?population . } OPTIONAL { ?country wdt:P2046 ?areaSize . } OPTIONAL { ?country wdt:P35 ?headOfState . } OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . } OPTIONAL { ?country wdt:P38 ?currency . } OPTIONAL { ?country wdt:P41 ?flagImage . } OPTIONAL { ?country wdt:P625 ?coordinates . } OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel) = \\"en\\") } OPTIONAL { ?capital rdfs:label ?capitalLabel . FILTER(LANG(?capitalLabel) = \\"en\\") } }"}}
</tool_call>

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the countries that are members of the United Nations, along with their capitals, populations, area sizes, heads of state, images of the heads of state, currencies, flag images, and coordinate locations (all only if available)?

[Assistant]
To answer this question, we need to identify the entities and properties related to the United Nations member countries, their capitals, populations, area sizes, heads of state, images of the heads of state, currencies, flag images, and coordinate locations. We will start by searching for the entity representing the United Nations and then look for properties related to the required information.

### Step 1: Identify the United Nations Entity
Let's search for the entity representing the United Nations.

[Tool]
Top 10 entity alternatives:
1. United Nations, also known as the U.N., the UN, U.N., UN, United Nations Organization (wd:Q1065): global international and intergovernmental organization
2. United Nations (wd:Q7888317): American band
3. United Nations (wd:Q7888316): United Nations album
4. United Nations (wd:Q7888314): Rui En album
5. United Nations, also known as Canadian United, Canada United, Global United Nations Syndicate (wd:Q7888319): criminal gang who started in Vancouver, British Columbia
6. United Nations (wd:Q74063664): print in the National Gallery of Art (NGA 64023)
7. United Nations, also known as q Sm514 United Nations (wd:Q104713070): subject category of the 20th Century Press Archives
8. United Nations, also known as Star Trek UN, Star Trek United Nations, UN (wd:Q111240888): United Nations as depicted in the Star Trek multiverse
9. United Nations (wd:L620589-S1)
10. United Nations (wd:L618606-F1)

[Assistant]
The correct entity for the United Nations is `wd:Q1065`. Next, we need to find the property that indicates membership in the United Nations.

### Step 2: Identify the Property for UN Membership
Let's search for properties related to membership in the United Nations.

[Tool]
Top 10 property alternatives:
1. UN number, also known as UN code (wd:P695 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): four-digit number that identify hazardous substances and articles in the framework of international transport
2. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): geographic location code maintained by UNECE
3. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the political party of which a person is or has been a member or otherwise affiliated, member of
4. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
5. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): some or all members of this group share the occupation
6. UN document symbol, also known as United Nations Document Codes (wd:P3069 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): unique number assigned to United Nations  documents
7. general secretary, also known as secretary general, perpetual secretary, leader (wd:P3975 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): leader of a political or international organization, sometimes below the chairperson (P488), significant person, director / manager
8. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
9. signatory, also known as first signatories, ratified by, signatories, signed by, signer (wd:P1891 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person, country, or organization that has signed an official document (use P50 for author), significant person
10. UN classification code, also known as UN code classification (wd:P875 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): code for classification of dangerous goods defined by UN

[Assistant]
The property for UN membership is `wd:P463`. Now, we need to find the properties for the other required information such as capitals, populations, area sizes, heads of state, images of the heads of state, currencies, flag images, and coordinate locations.

### Step 3: Identify Properties for Required Information
Let's search for these properties one by one.

#### Capital
We need the property for the capital of a country.

[Tool]
Top 10 property alternatives:
1. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): seat of government of a country, province, state or other type of administrative territorial entity
3. capital cost, also known as budget, cost, unit cost (wd:P2130 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): amount of money spent on building or producing an object
4. authorised capital, also known as authorized capital (wd:P12651 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): maximum amount of share capital that the company is authorised to issue to shareholders
5. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
6. uses capitalization for, also known as capitalises, capitalizes, uses capitalisation for (wd:P6106 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter
7. market capitalization, also known as market cap, market capitalisation (wd:P2226 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): total value of issued shares by a publicly traded company
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. nominal share capital (wd:P8247 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): total of the nominal values of the issued ordinary and preference shares of the entity

[Assistant]
The property for the capital of a country is `wd:P36`.

#### Population
Next, let's find the property for population.

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): general population census of the country or region
4. urban population (wd:P6343 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): total number of households in this place, includes dwellings of all types

[Assistant]
The property for the population of a country is `wd:P1082`.

#### Area Size
Now, let's find the property for the area size of a country.

[Tool]
Top 10 property alternatives:
1. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): part, aspect, or form of the item to which the claim applies
2. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): area occupied by an object
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): specialization of a person or organization; see P106 for the occupation, interested in
4. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
5. water area (wd:P8887 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): area/surface of a geographical entity that is covered by water, area
6. size designation, also known as military unit size designation, unit size (wd:P8030 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): organizational size classification or designation used to indica...of an entity within an organization (property under development)
7. wing area (wd:P2112 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): area of an aircraft's wing surfaces, area
8. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
9. width, also known as breadth, bus width, size (wd:P2049 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): width of an object, length
10. length, also known as size, long, LOA, distance, dimension (wd:P2043 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): measured dimension of an object

[Assistant]
The property for the area size of a country is `wd:P2046`.

#### Head of State
Next, let's find the property for the head of state of a country.

[Tool]
Top 10 property alternatives:
1. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): political office that is fulfilled by the head of state of this item
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): official with the highest formal authority in a country/state, director / manager, chairperson
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): political office that is fulfilled by the head of the government of this item
5. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): senior official in an educational institution., director / manager, chairperson
6. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): presiding member of an organization, group or body, director / manager, significant person
7. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): organization which is directed by this office
8. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): position of the head of this item
9. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): persons who hold and/or held the position
10. country, also known as sovereign state, state, land, host country (wd:P17 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant]
The property for the head of state of a country is `wd:P35`.

#### Image of the Head of State
Next, let's find the property for the image of the head of state.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. shown with features, also known as depicted with features, features depicted, features shown (wd:P1354 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): secondary features depicted in a work. Use as qualifier for "depicts" (P180)
3. name (image), also known as name as image, label image, label as image, image of name, image as label (wd:P7407 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): name of something, when it's not fully supported by Unicode or contains characters that are not widely supported, icon
4. image of function, also known as function range, image, range, function image (wd:P2396 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): set of values that a mathematical function actually takes
5. spherical panorama image, also known as 360-degree panorama image, photosphere panoramic image, photosphere panorama, photosphere image, panorama view 360x180 degrees (wd:P4640 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image with the field of view 360×180 degrees oyiyi na ubi anya 360×180 degrees, panoramic view
6. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person linked to the item in any possible way
7. picture of this person doing their job, also known as picture of this person doing his job, picture of this person doing her job (wd:P13146 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): picture of a person in action, especially for a sportsperson, visual artist, musican, actor. P18 is normally used for portraits, image
8. identified in image by, also known as depicted with identifier, legend for number, lettered as, letter in image, marked as (wd:P7380 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier for the identification of a value/object with a number, letter or sign inscribed in the image
9. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
10. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image of a person's signature, image

[Assistant]
The property for the image of a person is `wd:P18`.

#### Currency
Next, let's find the property for the currency of a country.

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): amount in a specific currency
5. cash (wd:P2232 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): numerical value of a number, a mathematical constant, or a physical constant

[Assistant]
The property for the currency of a country is `wd:P38`.

#### Flag Image
Next, let's find the property for the flag image of a country.

[Tool]
Top 10 property alternatives:
1. flag image, also known as image flag, image of flag (wd:P41 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image of the item's flag, image, flag
2. symbol of, also known as emblem of, flag of, logo of, seal of, symbolises (wd:P8058 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): item of which the image is a symbol
3. flag, also known as flag description (wd:P163 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): subject's flag
4. country of registry, also known as ship's flag, flag state, flag of convenience (wd:P8047 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): country where a ship is or has been registered, country
5. flag bearer (wd:P3022 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person who carries the national flag of their country at an opening or closing ceremony
6. coat of arms image, also known as symbol, representation (heraldic), image of coat of arms, emblem, heraldic, CoA image (wd:P94 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image of the item's coat of arms - for the shield part only use P4004, image
7. seal image, also known as emblem, emblem image, seal (wd:P158 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image of subject's seal (emblem), image
8. electoral symbol, also known as election symbol, political symbol (wd:P12650 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): symbol allocated to a political party or candidate for use on ballots
9. image of function, also known as function range, image, range, function image (wd:P2396 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): set of values that a mathematical function actually takes
10. spherical panorama image, also known as 360-degree panorama image, photosphere panoramic image, photosphere panorama, photosphere image, panorama view 360x180 degrees (wd:P4640 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): image with the field of view 360×180 degrees oyiyi na ubi anya 360×180 degrees, panoramic view

[Assistant]
The property for the flag image of a country is `wd:P41`.

#### Coordinate Location
Finally, let's find the property for the coordinate location of a country.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): frame of reference used to produce a map
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Assistant]
The property for the coordinate location of a country is `wd:P625`.

### Step 4: Build the SPARQL Query
Now that we have identified all the necessary properties, we can build the SPARQL query to retrieve the required information for UN member countries.

Here is the initial SPARQL query:

```sparql
SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates
WHERE {
  ?country wdt:P463 wd:Q1065 .
  OPTIONAL { ?country wdt:P36 ?capital . }
  OPTIONAL { ?country wdt:P1082 ?population . }
  OPTIONAL { ?country wdt:P2046 ?areaSize . }
  OPTIONAL { ?country wdt:P35 ?headOfState . }
  OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . }
  OPTIONAL { ?country wdt:P38 ?currency . }
  OPTIONAL { ?country wdt:P41 ?flagImage . }
  OPTIONAL { ?country wdt:P625 ?coordinates . }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
```

However, since we cannot use `SERVICE wikibase:label`, we will use `rdfs:label` to get the labels.

Let's execute the query and see the results.

```sparql
SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates
WHERE {
  ?country wdt:P463 wd:Q1065 .
  OPTIONAL { ?country wdt:P36 ?capital . }
  OPTIONAL { ?country wdt:P1082 ?population . }
  OPTIONAL { ?country wdt:P2046 ?areaSize . }
  OPTIONAL { ?country wdt:P35 ?headOfState . }
  OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . }
  OPTIONAL { ?country wdt:P38 ?currency . }
  OPTIONAL { ?country wdt:P41 ?flagImage . }
  OPTIONAL { ?country wdt:P625 ?coordinates . }
  OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel) = "en") }
  OPTIONAL { ?capital rdfs:label ?capitalLabel . FILTER(LANG(?capitalLabel) = "en") }
}
```

Let's execute this query.

<tool_call>
{"name": "execute", "arguments": {"kg": "wikidata", "sparql": "SELECT ?country ?countryLabel ?capital ?capitalLabel ?population ?areaSize ?headOfState ?headOfStateImage ?currency ?flagImage ?coordinates WHERE { ?country wdt:P463 wd:Q1065 . OPTIONAL { ?country wdt:P36 ?capital . } OPTIONAL { ?country wdt:P1082 ?population . } OPTIONAL { ?country wdt:P2046 ?areaSize . } OPTIONAL { ?country wdt:P35 ?headOfState . } OPTIONAL { ?headOfState wdt:P18 ?headOfStateImage . } OPTIONAL { ?country wdt:P38 ?currency . } OPTIONAL { ?country wdt:P41 ?flagImage . } OPTIONAL { ?country wdt:P625 ?coordinates . } OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel) = \\"en\\") } OPTIONAL { ?capital rdfs:label ?capitalLabel . FILTER(LANG(?capitalLabel) = \\"en\\") } }"}}
</tool_call>


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?person ?prize ?prizeLabel ?date ?leibnizDate WHERE {
  ?person wdt:P166 wd:Q703205 .
  ?person wdt:P166 ?prize .
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize .
    ?prizeStatement pq:P585 ?date .
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205 .
    ?leibnizPrizeStatement pq:P585 ?leibnizDate .
  }
  OPTIONAL {
    ?prize rdfs:label ?prizeLabel .
    FILTER ( LANG( ?prizeLabel ) = "en" )
  }
}

SPARQL execution failed:
Tried to allocate 1.6 GB, but only 1.4 GB were available. Clear the cache or allow more memory for QLever during startup

It seems that the query is too complex and is causing memory issues. To address this, we can simplify the query by breaking it down into smaller parts and combining the results.

### Step 9: Simplify the Query

We will break the query into two parts:
1. Find humans who have won the Gottfried Wilhelm Leibniz Prize and the awards they have received.
2. For each award, count the number of people who received it before, after, at the same time, or at an unknown time relative to the Gottfried Wilhelm Leibniz Prize.

### Part 1: Find humans who have won the Gottfried Wilhelm Leibniz Prize and the awards they have received

```sparql
SELECT ?person ?prize ?prizeLabel ?date ?leibnizDate
WHERE {
  ?person wdt:P166 wd:Q703205.
  ?person wdt:P166 ?prize.
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize.
    ?prizeStatement pq:P585 ?date.
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205.
    ?leibnizPrizeStatement pq:P585 ?leibnizDate.
  }
  OPTIONAL { ?prize rdfs:label ?prizeLabel . FILTER(LANG(?prizeLabel) = "en") }
}
```

### Part 2: Count the number of people who received each award before, after, at the same time, or at an unknown time relative to the Gottfried Wilhelm Leibniz Prize

We will use the results from Part 1 to construct the final counts.

Let's execute Part 1 first to get the intermediate results.

<tool_call>
{"name": "execute", "arguments": {"kg": "wikidata", "sparql": "SELECT ?person ?prize ?prizeLabel ?date ?leibnizDate\nWHERE {\n  ?person wdt:P166 wd:Q703205.\n  ?person wdt:P166 ?prize.\n  OPTIONAL {\n    ?prizeStatement ps:P166 ?prize.\n    ?prizeStatement pq:P585 ?date.\n  }\n  OPTIONAL {\n    ?leibnizPrizeStatement ps:P166 wd:Q703205.\n    ?leibnizPrizeStatement pq:P585 ?leibnizDate.\n  }\n  OPTIONAL { ?prize rdfs:label ?prizeLabel . FILTER(LANG(?prizeLabel) = \"en\") }\n}"}}
<tool_call>

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User]
What are the counts and sums of various types of awards received by humans who have won the Gottfried Wilhelm Leibniz Prize? Only consider awards that are general awards, science awards, cultural prizes, chemistry awards, literary awards, physics awards, national academies, and journalism prizes. Additionally, if the dates are available, indicate whether these awards were received before, after, at the same time, or at an unknown time relative to the receipt of the Gottfried Wilhelm Leibniz Prize.

Each result row should contain the prize, the count of people who received that prize, and the counts of people who received it before, after, at the same time, or at an unknown time relative to the Leibniz Prize.

[Assistant]
To address this complex query, we need to break it down into several steps:

1. Identify the entity for the Gottfried Wilhelm Leibniz Prize.
2. Identify the properties for awards and their types.
3. Identify the properties for the date of receiving an award.
4. Construct a SPARQL query to find humans who have won the Gottfried Wilhelm Leibniz Prize.
5. For each of these humans, find the awards they have received and categorize them based on the types specified.
6. Compare the dates of these awards with the date of receiving the Gottfried Wilhelm Leibniz Prize.
7. Aggregate the results to get the counts and sums of the awards.

Let's start by identifying the entity for the Gottfried Wilhelm Leibniz Prize.

### Step 1: Identify the entity for the Gottfried Wilhelm Leibniz Prize

I will use the `search_entity` function to find the entity for the Gottfried Wilhelm Leibniz Prize.

[Tool]
Top 10 entity alternatives:
1. Gottfried Wilhelm Leibniz Prize, also known as Leibniz Prize (wd:Q703205): research prize awarded by the Deutsche Forschungsgemeinschaft
2. Gottfried Wilhelm Leibniz, also known as Leibniz, Leibnitz, Gottfried Leibniz, Freiherr Gottfried Wilhelm von Leibniz, Gottfried Wilhelm von Leibniz (wd:Q9047): German mathematician and philosopher (1646–1716), philosopher of law, music theorist, policy advisor, diplomatician, mathematician, musicologist, philosopher, translator, librarian, zoologist, geologist, biologist, archivist, physicist, historian, logician, diplomat, engineer, jurist, writer, poet
3. Gottfried Wilhelm Leibniz, also known as Gottfried Wilhelm, Leibniz, Gottfried Wilhelm von Leibniz, Leibnitz, Freiherr Gottfried Wilhelm von Leibniz (wd:Q9047): German mathematician and philosopher (1646–1716), philosopher of law, policy advisor, music theorist, mathematician, diplomatician, musicologist, philosopher, translator, archivist, zoologist, geologist, biologist, physicist, librarian, historian, engineer, logician, diplomat, jurist, writer, poet
4. Leibniz, Gottfried Wilhelm, also known as Leibniz, Gottfried Wilhelm (ADB) (wd:Q24703344): encyclopedic article
5. Gottfried Wilhelm Leibniz (wd:Q118153879): painting by anonymous
6. Gottfried Wilhelm Leibniz (wd:Q122937363): scientific article published in 1978
7. Gottfried Wilhelm Leibniz (wd:Q123278620): scientific article published in 1933
8. Gottfried Wilhelm Leibniz (wd:Q123314437): scientific article published in 1923
9. Gottfried Wilhelm Leibniz (wd:Q52416596): scientific article published in March 1981
10. Leibniz, Gottfried Wilhelm (wd:Q103852361): encyclopedia article

[Assistant]
The correct entity for the Gottfried Wilhelm Leibniz Prize is `wd:Q703205`.

### Step 2: Identify the properties for awards and their types

Next, I will search for properties related to awards and their types. I will use the `search_property` function to find relevant properties.

### Step 3: Identify the properties for the date of receiving an award

I will also search for properties related to the date of receiving an award.

Let's start with the properties for awards and their types.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): award or recognition received by a person, organization or creative work
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person or organization who grants an award, certification, grant, or role
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. grants, also known as awards, bestows, confers, gives out (wd:P5460 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. nominee, also known as award nominee (wd:P2453 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier used with “nominated for” to specify which person or organization was nominated
9. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): party that is eligible to receive something, like an award, grant or prize
10. awarded for period (wd:P4566 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property for "award received" is `wd:P166`. This property will help us identify the awards received by individuals.

Next, I will search for properties related to the date of receiving an award.

### Step 3: Identify the properties for the date of receiving an award

I will use the `search_property` function to find relevant properties.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): award or recognition received by a person, organization or creative work
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): party that is eligible to receive something, like an award, grant or prize
5. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person or organization who grants an award, certification, grant, or role
6. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
7. awarded for period (wd:P4566 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): period during which the achievement must have been made to be eligible for an award
8. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
9. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
10. TracesOfWar award ID, also known as TOW award ID (wd:P12375 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): identifier for awards associated with post-18th-century wars in the TracesOfWar database

[Assistant]
It seems that the search did not return a direct property for the date of receiving an award. However, the property `wd:P585` (point in time) is often used to specify the date when an event occurred, including the receipt of an award. I will verify this by checking some examples of the `wd:P166` property.

### Step 4: Verify the use of `wd:P585` for the date of receiving an award

I will use the `list` function to find examples of how the `wd:P166` property is used and check if `wd:P585` is used as a qualifier for the date of receiving an award.

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                  | object                                                           |
| -------------------------------- | ------------------------- | ---------------------------------------------------------------- |
| wd:Q108908416                    | award received (wdt:P166) | Russia (wd:Q159)                                                 |
| United Nations (wd:Q1065)        | award received (wdt:P166) | Four Freedoms Award – Freedom Medal (wd:Q20203866)               |
| Neelesh Prasad (wd:Q110932767)   | award received (wdt:P166) | mathematics (wd:Q395)                                            |
| Julius Caesar (wd:Q1048)         | award received (wdt:P166) | Consecratio (wd:Q106648268)                                      |
| Mahatma Gandhi (wd:Q1001)        | award received (wdt:P166) | Time Person of the Year (wd:Q207826)                             |
| Charles Darwin (wd:Q1035)        | award received (wdt:P166) | Honorary Fellow of the Royal Society Te Apārangi (wd:Q125121451) |
| Prague (wd:Q1085)                | award received (wdt:P166) | Rescuer City (wd:Q112111275)                                     |
| wd:Q110555403                    | award received (wdt:P166) | Soviet Union (wd:Q15180)                                         |
| Charles Sagalane (wd:Q108648407) | award received (wdt:P166) | poetry (wd:Q482)                                                 |
| Hamburg (wd:Q1055)               | award received (wdt:P166) | Führerstadt (wd:Q1480914)                                        |
| ...                              | ...                       | ...                                                              |

[Assistant]
The results show that the `wd:P166` property is used to indicate awards received, but the specific awards listed here do not include the date of receipt. To confirm if `wd:P585` is used as a qualifier for the date of receiving an award, I will look at a specific example where an award is received and check if `wd:P585` is used.

Let's take a closer look at the `wd:Q703205` (Gottfried Wilhelm Leibniz Prize) and see if it has any qualifiers for the date of receipt.

### Step 5: Check if `wd:P585` is used as a qualifier for the date of receiving the Gottfried Wilhelm Leibniz Prize

I will use the `list` function to find examples of how the `wd:P166` property is used with the Gottfried Wilhelm Leibniz Prize and check if `wd:P585` is used as a qualifier.

[Tool]
Got 390 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                  | object                                       |
| --------------------------------------- | ------------------------- | -------------------------------------------- |
| Jürgen Habermas (wd:Q76357)             | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Emmanuelle Charpentier (wd:Q17280087)   | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Svante Pääbo (wd:Q170342)               | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Christiane Nüsslein-Volhard (wd:Q77174) | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Theodor W. Hänsch (wd:Q71013)           | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Gerhard Ertl (wd:Q60066)                | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Stefan Hell (wd:Q91410)                 | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Reinhard Genzel (wd:Q65807)             | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Erwin Neher (wd:Q77126)                 | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| Benjamin List (wd:Q105572)              | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205) |
| ...                                     | ...                       | ...                                          |

[Assistant]
The results show that the `wd:P166` property is used to indicate that these individuals have received the Gottfried Wilhelm Leibniz Prize. However, the list does not include the date of receipt. To confirm if `wd:P585` is used as a qualifier for the date of receiving the award, I will check the qualifiers for one of these individuals.

### Step 6: Check qualifiers for the date of receiving the Gottfried Wilhelm Leibniz Prize

I will use the `list` function to find the qualifiers for the `wd:P166` property for one of the individuals who received the Gottfried Wilhelm Leibniz Prize, such as Jürgen Habermas (`wd:Q76357`).

Let's check the qualifiers for Jürgen Habermas.

[Tool]
Got 26 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                  | object                                                                          |
| --------------------------- | ------------------------- | ------------------------------------------------------------------------------- |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Erasmus Prize (wd:Q974780)                                                      |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Peace Prize of the German Publishers' and Booksellers' Association (wd:Q265920) |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Holberg International Memorial Prize (wd:Q1624297)                              |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Gottfried Wilhelm Leibniz Prize (wd:Q703205)                                    |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Fellow of the British Academy (wd:Q27988727)                                    |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Theodor W. Adorno Award (wd:Q339163)                                            |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Kluge Prize (wd:Q1776592)                                                       |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Sigmund Freud Prize (wd:Q467143)                                                |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Geschwister-Scholl-Preis (wd:Q118404)                                           |
| Jürgen Habermas (wd:Q76357) | award received (wdt:P166) | Helmholtz Medal (wd:Q1562616)                                                   |
| ...                         | ...                       | ...                                                                             |

[Assistant]
The results show that Jürgen Habermas has received multiple awards, including the Gottfried Wilhelm Leibniz Prize. However, the list does not include the date of receipt. To confirm if `wd:P585` is used as a qualifier for the date of receiving the award, I will check the qualifiers for the specific award statement.

### Step 7: Check qualifiers for the specific award statement

I will use the `list` function to find the qualifiers for the specific award statement where Jürgen Habermas received the Gottfried Wilhelm Leibniz Prize.

Let's check the qualifiers for the specific award statement.

[Tool] Only two of subject, property, or object should be provided.

[Assistant]
I made a mistake in the previous function call. I should only provide two of the subject, property, or object constraints. Let's correct this and check the qualifiers for the specific award statement where Jürgen Habermas received the Gottfried Wilhelm Leibniz Prize.

I will use the `list` function to find the qualifiers for the specific award statement where Jürgen Habermas received the Gottfried Wilhelm Leibniz Prize by providing the subject and property constraints.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that there are no qualifiers for the specific award statement where Jürgen Habermas received the Gottfried Wilhelm Leibniz Prize. This suggests that the date of receiving the award might not be consistently recorded as a qualifier.

However, we can still proceed with the query by assuming that the date of receiving the Gottfried Wilhelm Leibniz Prize is not always available. We will need to handle cases where the date is unknown.

### Step 8: Construct the SPARQL query

We will construct a SPARQL query to find humans who have won the Gottfried Wilhelm Leibniz Prize, the awards they have received, and categorize these awards based on the types specified. We will also compare the dates of these awards with the date of receiving the Gottfried Wilhelm Leibniz Prize, if available.

Here is the initial SPARQL query:

```sparql
SELECT ?prize ?prizeLabel (COUNT(?person) AS ?totalCount)
       (SUM(CASE WHEN ?dateBefore THEN 1 ELSE 0 END) AS ?beforeCount)
       (SUM(CASE WHEN ?dateAfter THEN 1 ELSE 0 END) AS ?afterCount)
       (SUM(CASE WHEN ?dateSame THEN 1 ELSE 0 END) AS ?sameCount)
       (SUM(CASE WHEN ?dateUnknown THEN 1 ELSE 0 END) AS ?unknownCount)
WHERE {
  ?person wdt:P166 wd:Q703205.
  ?person wdt:P166 ?prize.
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize.
    ?prizeStatement pq:P585 ?date.
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205.
    ?leibnizPrizeStatement pq:P585 ?leibnizDate.
  }
  BIND((?date < ?leibnizDate) AS ?dateBefore)
  BIND((?date > ?leibnizDate) AS ?dateAfter)
  BIND((?date = ?leibnizDate) AS ?dateSame)
  BIND((!BOUND(?date) || !BOUND(?leibnizDate)) AS ?dateUnknown)
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
GROUP BY ?prize ?prizeLabel
ORDER BY DESC(?totalCount)
```

This query will:
1. Find humans who have won the Gottfried Wilhelm Leibniz Prize.
2. Find the awards they have received.
3. Categorize these awards based on the types specified.
4. Compare the dates of these awards with the date of receiving the Gottfried Wilhelm Leibniz Prize, if available.
5. Count the number of people who received each award and the number of people who received it before, after, at the same time, or at an unknown time relative to the Leibniz Prize.

Let's execute this query to see the results.

[Tool]
SPARQL execution failed:
failed to parse input: no matching token found from position 70: 'CASE WHEN ?dateBefore THEN 1 ELSE 0 END) AS ?beforeCount)
       (SUM(CASE WHEN ?dateAfter THEN 1 ELSE 0 END) AS ?afterCount)
       (SUM(CASE WHEN ?dateSame THEN 1 ELSE 0 END) AS ?sameCount)
       (SUM(CASE WHEN ?dateUnknown THEN 1 ELSE 0 END) AS ?unknownCount)
WHERE {
  ?person wdt:P166 wd:Q703205.
  ?person wdt:P166 ?prize.
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize.
    ?prizeStatement pq:P585 ?date.
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205.
    ?leibnizPrizeStatement pq:P585 ?leibnizDate.
  }
  BIND((?date < ?leibnizDate) AS ?dateBefore)
  BIND((?date > ?leibnizDate) AS ?dateAfter)
  BIND((?date = ?leibnizDate) AS ?dateSame)
  BIND((!BOUND(?date) || !BOUND(?leibnizDate)) AS ?dateUnknown)
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
GROUP BY ?prize ?prizeLabel
ORDER BY DESC(?totalCount)'

[Assistant]
It appears that the SPARQL query failed due to an issue with the `CASE` expressions. The `CASE` expressions are not supported in the way I used them in this SPARQL endpoint. Instead, we can use `IF` functions to achieve the same result.

Let's modify the query to use `IF` functions and re-execute it.

### Revised SPARQL Query

```sparql
SELECT ?prize ?prizeLabel (COUNT(?person) AS ?totalCount)
       (SUM(IF(?dateBefore, 1, 0)) AS ?beforeCount)
       (SUM(IF(?dateAfter, 1, 0)) AS ?afterCount)
       (SUM(IF(?dateSame, 1, 0)) AS ?sameCount)
       (SUM(IF(?dateUnknown, 1, 0)) AS ?unknownCount)
WHERE {
  ?person wdt:P166 wd:Q703205.
  ?person wdt:P166 ?prize.
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize.
    ?prizeStatement pq:P585 ?date.
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205.
    ?leibnizPrizeStatement pq:P585 ?leibnizDate.
  }
  BIND((?date < ?leibnizDate) AS ?dateBefore)
  BIND((?date > ?leibnizDate) AS ?dateAfter)
  BIND((?date = ?leibnizDate) AS ?dateSame)
  BIND((!BOUND(?date) || !BOUND(?leibnizDate)) AS ?dateUnknown)
  OPTIONAL { ?prize rdfs:label ?prizeLabel . FILTER(LANG(?prizeLabel) = "en") }
}
GROUP BY ?prize ?prizeLabel
ORDER BY DESC(?totalCount)
```

This query uses `IF` functions to count the number of people who received each award before, after, at the same time, or at an unknown time relative to the Gottfried Wilhelm Leibniz Prize.

Let's execute this revised query to see the results.

[Tool]
SPARQL execution failed:
Tried to allocate 1.6 GB, but only 1.4 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
It seems that the query is too complex and is causing memory issues. To address this, we can simplify the query by breaking it down into smaller parts and combining the results.

### Step 9: Simplify the Query

We will break the query into two parts:
1. Find humans who have won the Gottfried Wilhelm Leibniz Prize and the awards they have received.
2. For each award, count the number of people who received it before, after, at the same time, or at an unknown time relative to the Gottfried Wilhelm Leibniz Prize.

### Part 1: Find humans who have won the Gottfried Wilhelm Leibniz Prize and the awards they have received

```sparql
SELECT ?person ?prize ?prizeLabel ?date ?leibnizDate
WHERE {
  ?person wdt:P166 wd:Q703205.
  ?person wdt:P166 ?prize.
  OPTIONAL {
    ?prizeStatement ps:P166 ?prize.
    ?prizeStatement pq:P585 ?date.
  }
  OPTIONAL {
    ?leibnizPrizeStatement ps:P166 wd:Q703205.
    ?leibnizPrizeStatement pq:P585 ?leibnizDate.
  }
  OPTIONAL { ?prize rdfs:label ?prizeLabel . FILTER(LANG(?prizeLabel) = "en") }
}
```

### Part 2: Count the number of people who received each award before, after, at the same time, or at an unknown time relative to the Gottfried Wilhelm Leibniz Prize

We will use the results from Part 1 to construct the final counts.

Let's execute Part 1 first to get the intermediate results.

<tool_call>
{"name": "execute", "arguments": {"kg": "wikidata", "sparql": "SELECT ?person ?prize ?prizeLabel ?date ?leibnizDate\nWHERE {\n  ?person wdt:P166 wd:Q703205.\n  ?person wdt:P166 ?prize.\n  OPTIONAL {\n    ?prizeStatement ps:P166 ?prize.\n    ?prizeStatement pq:P585 ?date.\n  }\n  OPTIONAL {\n    ?leibnizPrizeStatement ps:P166 wd:Q703205.\n    ?leibnizPrizeStatement pq:P585 ?leibnizDate.\n  }\n  OPTIONAL { ?prize rdfs:label ?prizeLabel . FILTER(LANG(?prizeLabel) = \"en\") }\n}"}}
<tool_call>


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?taxon WHERE {
  ?taxon p:P405 ?statement .
  ?statement ps:P405 ?author .
  FILTER ( ?author = wd:Q927667 )
}

Despite trying multiple approaches, including direct queries and more comprehensive queries, no results were found for taxa authored by Edmond Perrier. This suggests that the information might not be structured in the way we expected or might not be present in the knowledge graph in a form that can be queried directly.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the taxa authored by Edmond Perrier?

[Assistant] To answer this question, we need to identify the entity representing Edmond Perrier and the property that links authors to the taxa they have described. Let's start by searching for Edmond Perrier in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Edmond Perrier, also known as Perrier, E. Perrier, Jean Octave Edmond Perrier, E.Perrier (wd:Q927667): French zoologist (1844-1921), university teacher, naturalist, biologist, zoologist, botanist
2. Lycée Edmond Perrier, also known as Lycee Edmond Perrier (wd:Q3268657): public school in Tulle, Limousin, France
3. Prof. Edmond Perrier (wd:Q60078941): scientific article published in Nature
4. Edmond, also known as Edmond, OK, Edmond, Oklahoma (wd:Q862645): city in Oklahoma County, Oklahoma, United States
5. Perrier (wd:Q274724): commune in Puy-de-Dôme, France
6. Edmond, also known as Edmond, Kansas, Edmond, KS (wd:Q2334018): human settlement in Norton County, Kansas, United States of America
7. Perrier (wd:Q1471021): Nestlé trademark
8. François Perrier, also known as le Bourguignon, Monsu Perier, Le Bourguignon, Monsù Periel, F R Perrier (wd:Q82566): French painter and engraver, visual artist, printmaker, designer, painter
9. Edmond (wd:Q2436011): 2005 film directed by Stuart Gordon
10. Cyrano, My Love, also known as Edmond (wd:Q55596753): 2019 film by Alexis Michalik

[Assistant] The top result for Edmond Perrier is the French zoologist (wd:Q927667). Now, let's find the property that links authors to the taxa they have described. We can search for properties related to "author" or "taxa".

[Tool]
Top 10 property alternatives:
1. taxon author, also known as author citation, taxon authority, described by (wd:P405 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the author(s) that (optionally) may be cited with the scientific name
2. taxon author citation, also known as author citation for this taxon (wd:P6507 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): valid author citation for a taxon using the appropriate nomenclature (ICBN, ICZN, ect.)
3. individual of taxon, also known as is individual of the taxon, taxon of the item, taxon of subject, taxon of item, species of this individual (wd:P10241 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the taxon of an individual named organism (animal, plant), instance of
4. found in taxon, also known as present in taxon, found in species (wd:P703 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the taxon in which the item can be found, part of
5. natural product of taxon, also known as produced by taxon, product of taxon, made from, fruit of (taxon), derived from (wd:P1582 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): links a natural product with its source (animal, plant, fungal, algal, etc.)
6. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): correct scientific name of a taxon (according to the reference given)
7. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): level in a taxonomic hierarchy, instance of
8. year of publication of scientific name for taxon, also known as taxon year, year of scientific description, taxon date, described in, date of taxon description publication (wd:P574 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): year when this taxon was formally described (for animals); year when this taxon name was formally established (for plants), publication date
9. this taxon is source of, also known as this taxon is the source of, this taxon is a source of, natural product, taxon is source of, secretes (wd:P1672 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): links a taxon to natural products it produces. Note that it does...s may vary. Some products may be yielded by more than one taxon.
10. author citation (zoology), also known as abbreviation of author in zoology, author abbreviation in zoology, zoologist author name, zoologist name, zoology author name (wd:P835 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): short form of the name used after a taxon this person has authored, short name

[Assistant]
The property "taxon author" (wd:P405) seems to be the most relevant for linking authors to the taxa they have described. Let's construct a SPARQL query to find the taxa authored by Edmond Perrier (wd:Q927667).

Here is the initial SPARQL query:

```sparql
SELECT ?taxon WHERE {
  wd:Q927667 wdt:P405 ?taxon .
}
```

Let's execute this query to see the results.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the initial query did not return any results. This could be due to the fact that the property `wdt:P405` might not be directly linking Edmond Perrier to the taxa he authored. Instead, it might be used in a different way, such as in a statement with qualifiers.

Let's try a more detailed query to explore the structure of the data. We can look for statements where Edmond Perrier is mentioned as an author and then extract the taxa from those statements.

Here is the revised SPARQL query:

```sparql
SELECT ?taxon WHERE {
  ?statement ps:P405 wd:Q927667 .
  ?taxon p:P405 ?statement .
}
```

This query looks for statements where Edmond Perrier is the author and then finds the taxa associated with those statements. Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
The revised query also did not return any results. This suggests that the data structure might be different from what we initially assumed. Let's take a closer look at the properties and entities involved to ensure we are using the correct approach.

We can list the triples where Edmond Perrier (wd:Q927667) is involved to see if there are any clues about how his authorship is represented.

Here is the query to list the triples:

```sparql
SELECT ?property ?object WHERE {
  wd:Q927667 ?property ?object .
}
```

Let's execute this query to inspect the data.

[Tool]
Got 373 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                    | ?object                                        |
| -------------------------------------------- | ---------------------------------------------- |
| schema:description                           | "ahli biologi asal Perancis"@id                |
| schema:description                           | "France karimba ŋun nyɛ doo"@dag               |
| schema:description                           | "Fransız hayvan bilimci (1844 – 1921)"@tr      |
| schema:description                           | "Frans natuurwetenschapper (1844-1921)"@nl     |
| schema:description                           | "französischer Zoologe und Anatom"@de          |
| ...                                          | ...                                            |
| FranceArchives agent ID (p:P9371)            | s:Q927667-E89A7FAD-A837-4D3D-9884-2CF1C4506778 |
| National Library of Israel ID (old) (p:P949) | s:Q927667-C7D6AD54-3B1E-4E8D-AF54-267D193225C2 |
| National Library of Spain ID (p:P950)        | s:Q927667-B68BD649-720C-4BC4-A6C0-CE8EF954D4D6 |
| EBAF authority ID (p:P9661)                  | s:Q927667-F2E9295E-3D47-41D5-B993-B24C6C3EFBC4 |
| Kallías ID (p:P9918)                         | s:Q927667-BCA24080-151E-4F0C-9F92-53852A0F0C8D |

[Assistant]
The triples listed do not provide direct information about the taxa authored by Edmond Perrier. This suggests that the information might be stored in a different way or might not be available in the knowledge graph in the form we expected.

Given that the direct approach did not yield results, let's try a different strategy. We can search for taxa and check if Edmond Perrier is mentioned as an author in their descriptions or properties.

First, let's search for taxa and then filter those where Edmond Perrier is mentioned as an author. We can use the `taxon author` property (wd:P405) and look for taxa where Edmond Perrier is listed as an author.

Here is the query to find taxa where Edmond Perrier is mentioned as an author:

```sparql
SELECT ?taxon WHERE {
  ?taxon wdt:P405 wd:Q927667 .
}
```

Let's execute this query to see if we get any results.

[Tool] Got no rows and 1 columns

[Assistant]
The query still did not return any results, which suggests that the data might not be structured in the way we expected. It's possible that the authorship information is not directly linked to the taxa in the way we are querying.

Given the lack of results, let's consider another approach. We can search for taxa and then check if Edmond Perrier is mentioned in any of the properties or qualifiers related to authorship. This might involve looking at more complex structures or using different properties.

Let's try a more comprehensive query that looks for taxa and checks if Edmond Perrier is mentioned in any related properties or qualifiers:

```sparql
SELECT ?taxon WHERE {
  ?taxon p:P405 ?statement .
  ?statement ps:P405 ?author .
  FILTER(?author = wd:Q927667)
}
```

This query looks for taxa where there is a statement about the author, and then filters to include only those where Edmond Perrier is the author. Let's execute this query to see if we get any results.

[Tool] Got no rows and 1 columns

[Assistant]
Unfortunately, even the more comprehensive query did not return any results. This suggests that the information about taxa authored by Edmond Perrier might not be structured in the way we expected, or it might not be present in the knowledge graph in a straightforward manner.

Given the lack of results, it's possible that the data is either not available or not structured in a way that can be easily queried using the properties and entities we have tried.

Since we have exhausted multiple approaches and still have not found any taxa authored by Edmond Perrier, I will conclude that the information might not be available in the knowledge graph in a form that can be queried directly.

I will provide a detailed explanation and my best attempt at the SPARQL query so far.

[Tool] Stopped generation process